Title :
Statistical modeling of scattering matrix elements
Author :
Kozlov, A.I. ; Logvin, A.I. ; Ligthart, L.P.
Author_Institution :
Moscow State Tech. Univ. of Civil Aviation, Russia
Abstract :
Attention is paid to distribution laws describing the statistical characteristics of scattering matrix elements. Taking into account the many mathematical difficulties to set up an analytical approach, it is shown how to use numerical methods as a promising alternative. The probability density functions of the real and imaginary parts of the measured scattering matrix elements, as well as modules and phase values are determined. They are used in the process of statistical modeling and lead towards distribution laws, which are in good agreement with the measured statistics. A search of best-fitted distribution laws has been carried out on the basis of generalized Pearson curve classes.
Keywords :
S-matrix theory; electromagnetic wave scattering; probability; remote sensing by radar; statistical analysis; distribution laws; generalized Pearson curve; measured statistics; numerical methods; phase values; probability density functions; radar objects; radar remote sensing; scattering matrix elements; statistical characteristics; statistical modeling; Density measurement; Equations; Phase measurement; Polarization; Probability density function; Radar remote sensing; Radar scattering; Statistical analysis; Statistical distributions; Statistics;
Conference_Titel :
Microwaves, Radar and Wireless Communications, 2002. MIKON-2002. 14th International Conference on
Print_ISBN :
83-906662-5-1
DOI :
10.1109/MIKON.2002.1017934